diff options
author | Giorgio Arena <giorgio.arena@arm.com> | 2018-04-04 17:44:26 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:50:48 +0000 |
commit | 7657224de2b697a8a92cccf26d98e53ccd7c1a03 (patch) | |
tree | 1dcfa4541dbaf753854a628c93991652158d373e /arm_compute/runtime/NEON | |
parent | e74b201ca1abca040ca9f30837fdf19aa610e7c4 (diff) | |
download | ComputeLibrary-7657224de2b697a8a92cccf26d98e53ccd7c1a03.tar.gz |
COMPMID-926 Add depth multiplier support to NEON/CL/GLES depthwise convolution
Change-Id: I03f32c62350e5ea43e77bb15fc5a832d83719e3b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/126657
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON')
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h | 30 |
1 files changed, 16 insertions, 14 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h index 84d3594426..b80fb7f2c8 100644 --- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h +++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h @@ -55,14 +55,15 @@ public: NEDepthwiseConvolutionLayer3x3(); /** Initialize the function's source, destination, kernels and border_size. * - * @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling). - * @param[in] weights Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input. - * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input. - * @param[out] output Destination tensor. Data type supported: same as @p input. - * @param[in] conv_info Padding and stride information to use for the convolution. + * @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling). + * @param[in] weights Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input. + * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input. + * @param[out] output Destination tensor. Data type supported: same as @p input. + * @param[in] conv_info Padding and stride information to use for the convolution. + * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. */ - void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1); // Inherited methods overriden: void run() override; @@ -109,14 +110,15 @@ public: NEDepthwiseConvolutionLayer &operator=(NEDepthwiseConvolutionLayer &&) = default; /** Initialize the function's source, destination, weights and convolution information. * - * @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling). - * @param[out] output Destination tensor. Data type supported: same as @p input. - * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. - * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. - * Data type supported: Same as @p input, S32 when input is QASYMM8. - * @param[in] conv_info Padding and stride information to use for the convolution. + * @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling). + * @param[out] output Destination tensor. Data type supported: same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input, S32 when input is QASYMM8. + * @param[in] conv_info Padding and stride information to use for the convolution. + * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. */ - void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1); // Inherited methods overriden: void run() override; |